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A method for measuring the roundness of an object

A roundness measurement and object technology, applied in the field of machine vision measurement, can solve the problems of inability to obtain correction and large circular error, and achieve the effect of reducing the number of times, avoiding interference, and improving search efficiency.

Active Publication Date: 2021-07-30
HANGZHOU HUICUI INTELLIGENT TECH CO LTD +2
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AI Technical Summary

Problems solved by technology

Although this method can avoid the influence of a small number of interference points, when there are many interference points, the circular error generated by the initial fitting (based on the least squares method) is relatively large, and may not be corrected in subsequent iterations, such as image 3 As shown, the solid line is the fitted circle, and the dashed line is the ideal circle
In summary, under the existing technology, the problem of interference cannot be effectively solved, and there is no effective method to achieve high-precision circle fitting

Method used

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  • A method for measuring the roundness of an object
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  • A method for measuring the roundness of an object

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Embodiment Construction

[0043] A method for measuring the roundness of an object, such as Figure 4 shown, including the following steps:

[0044] Step 1, extracting edge points according to the edge image information of the object, the edge points enclosing the edge contour of the object.

[0045] Wherein, the edge extraction may adopt the sobel edge extraction method or the Canny edge extraction method.

[0046] Step 2, perform clustering and segmentation on the edge points to obtain the target edge points; wherein, the judgment condition of the clustering segmentation is: determine the gradient line intersection point of the edge line according to the search circle center and the preset radius, and use the gradient The line intersection points obtain the corresponding target edge points.

[0047] Wherein, the gradient line passes through the search edge point and the search circle center. The search center is a circle center determined according to the edge points. In step 2, the corresponding...

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Abstract

The invention belongs to the field of machine vision measurement, and relates to a method for measuring the roundness of an object. The edge points are clustered and segmented to obtain the target edge points; wherein, the judgment condition of the cluster segmentation is: determine the gradient line intersection of the edge line according to the search center and the preset radius, and obtain the corresponding gradient line intersection with the gradient line intersection. the target edge point; perform circle fitting on the target edge point to obtain the target circle equation. The invention can eliminate abnormal points deviating from the circle to be detected in the circle detection, perform high-precision circle fitting, and can also be extended to detect multiple circles at one time, and improve the search efficiency.

Description

technical field [0001] The patent of the present invention belongs to the field of machine vision measurement, and relates to a method of using a camera to photograph an object to be measured and using an image processing algorithm to obtain the required measurement information, especially to a method mainly used in the measurement of precision workpieces (such as workpiece roundness, diameter, etc.), Object roundness measurement method for non-contact measurement of targets in complex industrial scenes. Background technique [0002] Machine vision measurement technology is an important branch of computer science. Machine vision measurement refers to the method of using the camera to obtain the image of the object to be measured, and combining the image processing algorithm to measure the geometric information of the target to be measured. This method has the characteristics of non-contact and high precision. In order to obtain ideal measurement results, the industry mainly...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/60G06T7/13
CPCG06T7/60G06T7/13
Inventor 周柔刚周才健盛锦华
Owner HANGZHOU HUICUI INTELLIGENT TECH CO LTD